Upload TFDistilBertForSequenceClassification
Browse files- README.md +49 -0
- config.json +33 -0
- tf_model.h5 +3 -0
README.md
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---
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license: mit
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base_model: Yuhhi/tf_model.h5
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tags:
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- generated_from_keras_callback
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model-index:
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- name: ai-text-detector-version-2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# ai-text-detector-version-2
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This model is a fine-tuned version of [Yuhhi/tf_model.h5](https://huggingface.co/Yuhhi/tf_model.h5) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.32.1
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- TensorFlow 2.15.0
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "Yuhhi/tf_model.h5",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"finetuning_task": "sst-2",
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"hidden_dim": 3072,
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"id2label": {
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"0": "NEGATIVE",
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"1": "POSITIVE"
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},
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"initializer_range": 0.02,
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"label2id": {
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"NEGATIVE": 0,
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"POSITIVE": 1
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.32.1",
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"vocab_size": 30522
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b195f8c81dda1f2397ecb24489bd80fdb87cf16f9bbaee47452da40d033cc98
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size 267951808
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